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Industry 4.0 and Healthcare: Impact of Artificial Intelligence 2023 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 251 pages, kõrgus x laius: 235x155 mm, 74 Illustrations, color; 21 Illustrations, black and white; VI, 251 p. 95 illus., 74 illus. in color., 1 Paperback / softback
  • Sari: Advanced Technologies and Societal Change
  • Ilmumisaeg: 03-Dec-2024
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9819919517
  • ISBN-13: 9789819919512
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  • Formaat: Paperback / softback, 251 pages, kõrgus x laius: 235x155 mm, 74 Illustrations, color; 21 Illustrations, black and white; VI, 251 p. 95 illus., 74 illus. in color., 1 Paperback / softback
  • Sari: Advanced Technologies and Societal Change
  • Ilmumisaeg: 03-Dec-2024
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9819919517
  • ISBN-13: 9789819919512
This book presents different stages of Industrial Revolution in artificial intelligence and its impact on industry 4.0 and Healthcare. It contains chapters prepared for the industrial landscape which is being transformed to the fourth stage with the rise of autonomous robots, contemporary automation, cyber-physical systems, the Internet of things, and the Internet of services for examining the circumstances of health care system for the future. It highlights the emerging trends in integration of different intelligent manufacturing systems and advanced information technologies. Additionally, understanding of the real-world issues using artificial intelligence and the solutions discussed in this book help the enormous numbers of techniques which can be applied for effective diagnosis and predicting diseases from health care data.

Arvustused

In this expansive anthology, editors Ashish Mishra and Jerry Chun-Wei Lin have compiled an impressive collection illuminating the boundless versatility of artificial intelligence (AI) that is revolutionizing modern medicine. Masterfully spanning diagnostic, pharmaceutical, and medical business realms, this prescient volume comprehensively analyses AIs immense promise in digitally transforming healthcare by augmenting precision diagnostics, accelerating research discoveries, and optimizing workflows. The text compellingly showcases AIs remarkable versatility while acknowledging pitfalls in implementation, access, and governance. (Goran Trajkovski, Computing Reviews, September 11, 2024)

An Artificial Intelligence Based Model for the Detection of Heart
Disease Using Machine Learning.- Recent Advancements in AI-Assisted Drug
Design and Discovery Systems.- Designing Dense-Healthcare IOT Networks for
Industry 4.0 Using AI based Energy Efficient Reinforcement Learning
Protocol.- The Impact of Artificial Intelligence on Healthcare.- Brain Tumor
Segmentation of MR Images Using SVM and Fuzzy Classifier in Machine learning.
Dr. Ashish Mishra is currently working as a professor in the Department of Computer Science and Engineering, Gyan Ganga Institute of Technology and Sciences, Jabalpur, India. He received his Ph.D. from AISECT University, Bhopal, India. His research interests include IOT, data mining, cloud computing, image processing and knowledge-based systems.





Dr. Jerry Chun-Wei Lin is currently working as a professor in the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway. His research interests include data mining, soft computing, artificial intelligence, social computing and privacy-preserving and security technologies.